Package: nlsmsn 0.0-6

Marcos Prates

nlsmsn: Fitting Nonlinear Models with Scale Mixture of Skew-Normal Distributions

Fit univariate non-linear scale mixture of skew-normal(NL-SMSN) regression, details in Garay, Lachos and Abanto-Valle (2011) <doi:10.1016/j.jkss.2010.08.003> and Lachos, Bandyopadhyay and Garay (2011) <doi:10.1016/j.spl.2011.03.019>.

Authors:Marcos Prates [aut, cre, trl], Victor Lachos [aut], Aldo Garay [aut]

nlsmsn_0.0-6.tar.gz
nlsmsn_0.0-6.zip(r-4.7-any)nlsmsn_0.0-6.zip(r-4.6-any)
nlsmsn_0.0-6.tar.gz(r-4.7-any)nlsmsn_0.0-6.tar.gz(r-4.6-any)
nlsmsn_0.0-6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
nlsmsn/json (API)

# Install 'nlsmsn' in R:
install.packages('nlsmsn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 3 scripts 232 downloads 1 exports 0 dependencies

Last updated from:d68deaa86c. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK173
linux-releaseOK106
windows-develOK60
windows-releaseOK54
wasm-releaseOK88

Exports:smsn.nl

Dependencies: